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leabRa
View on CRAN: Click
here
Download and install leabRa package within the R console
Install from CRAN:
install.packages("leabRa")
Install from Github:
library("remotes")
install_github("cran/leabRa") Install by package version:
library("remotes")
install_version("leabRa", "0.1.0") Attach the package and use:
library("leabRa")
Maintained by
Johannes Titz
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-22
Latest Update:
Description:
The algorithm Leabra (local error driven and associative
biologically realistic algorithm) allows for the construction of artificial
neural networks that are biologically realistic and balance supervised and
unsupervised learning within a single framework. This package is based on
the 'MATLAB' version by Sergio Verduzco-Flores, which in turn was based on
the description of the algorithm by Randall O'Reilly (1996)
. For
more general (not 'R' specific) information on the algorithm Leabra see
.
How to cite:
Johannes Titz (2017). leabRa: The Artificial Neural Networks Algorithm Leabra. R package version 0.1.0, https://cran.r-project.org/web/packages/leabRa. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.0 (2017-09-22 13:07)
Other packages that cited leabRa R package
View leabRa citation profile
Other R packages that leabRa depends,
imports, suggests or enhances
Complete documentation for leabRa
Functions, R codes and Examples using
the leabRa R package
Some associated functions: animals . layer . leabRa . network . unit .
Some associated R codes: data.R . layer.R . leabRa.R . misc.R . network.R . unit.R . Full leabRa package functions and examples
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